DocumentCode :
130812
Title :
Complex network-based growth and evolution model for Internet of Things
Author :
Huijuan Zhang ; Miao Zhang
Author_Institution :
Sch. of Software Eng., Tongji Univ., Shanghai, China
fYear :
2014
fDate :
27-29 June 2014
Firstpage :
120
Lastpage :
123
Abstract :
Currently, there are lacks of relational networks consistent with the characteristics of IOT (Internet of Things). According this situation, this paper proposes a GEM model based on the analyses of the popular IoT theories and the corresponding modeling methods as well as the newest applications of the complex network theory. First, we establish an original growth model, then the model is modified and optimized according to some special characteristics of the practical IoT in terms of preferential attachment, communication difficulty and weighted connection. At last, simulation of the model proposed by this article indicates that this model yields the power-law distribution, strength of interactions and shows a good performance of community structure, which conforms to the development law of IoT.
Keywords :
Internet of Things; complex networks; network theory (graphs); GEM model; Internet of things; IoT theories; communication difficulty; community structure; complex network theory; complex network-based growth; development law; evolution model; interactions strength; power-law distribution; preferential attachment; weighted connection; Communities; Complex networks; Computational modeling; Internet of Things; Mathematical model; Probability distribution; Complex Network; Internet of Things; Network Modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4799-3278-8
Type :
conf
DOI :
10.1109/ICSESS.2014.6933526
Filename :
6933526
Link To Document :
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